| import logging |
| import os |
| import sys |
|
|
|
|
| class AverageMeter(object): |
| """Computes and stores the average and current value |
| """ |
|
|
| def __init__(self): |
| self.val = None |
| self.avg = None |
| self.sum = None |
| self.count = None |
| self.reset() |
|
|
| def reset(self): |
| self.val = 0 |
| self.avg = 0 |
| self.sum = 0 |
| self.count = 0 |
|
|
| def update(self, val, n=1): |
| self.val = val |
| self.sum += val * n |
| self.count += n |
| self.avg = self.sum / self.count |
|
|
|
|
| def init_logging(rank, models_root): |
| if rank == 0: |
| log_root = logging.getLogger() |
| log_root.setLevel(logging.INFO) |
| formatter = logging.Formatter("Training: %(asctime)s-%(message)s") |
| handler_file = logging.FileHandler(os.path.join(models_root, "training.log")) |
| handler_stream = logging.StreamHandler(sys.stdout) |
| handler_file.setFormatter(formatter) |
| handler_stream.setFormatter(formatter) |
| log_root.addHandler(handler_file) |
| log_root.addHandler(handler_stream) |
| log_root.info('rank_id: %d' % rank) |
|
|
